Abstract:

With the vigorous development of the Internet, micro-blog service is attracting more and more users.Gender recognition of micro-blog users thereby becomes a hot research topic.Tremendous efforts have been made on gender recognition of Twitter users. However, research on Chinese micro-blogs users is still new. Based on the difference in the emotion expressions between males and females, we propose a gender recognition method of Chinese micro-blog users based on emotion features. The emotion features including emotional words and linguistic style features associated with the emotions. Experimental results show that using emotion features can improve the accuracy of gender recognition.

Key words: gender recognition, Chinese micro-blogs, emotion style features, emotional words